Information Systems (IS) have become an important issue for watershed management. Large amounts of data have been collected, and several models and tools developed to visualize and analyze the data. Much of the data and models, collected by individual researchers or research groups, are not integrated since the data are stored in local databases, and models are not easily accessible or applicable to other environmental systems. It takes an enormous amount of work to transform and understand the data and models, so that they can be explored and utilized within other information systems. Developments in internet technologies such as web services provide interfaces for easy integration of data, digital resources, and tools from various sources. Improvements in client and server-side scripting languages (e.g. AJAX, Javascript) make interactive content (e.g. visualization tools, online mapping), user interaction, rich user interfaces and desktop-like applications for data analysis and visualization possible on web browsers. In principle, water quality can be managed through an integrative perspective on watersheds, facilitated by a web-based information system. This dissertation presents a prototype of a web-based Information System for Georgia watersheds called GWIS: Georgia Watershed Information System. The primary purpose of GWIS is to record and present the work of the Environmental Process Control Laboratory (EPCL) of the University of Georgia, whose purpose in turn was to develop the monitoring and modeling of the water environment required to move towards a "smart" urban water infrastructure. As a prototype, GWIS has been developed initially to demonstrate capabilities and boundaries of an online information system from basic to advanced tools for the research community. The system is developed in a way to make adaptation of its components and structure easier in the light of new technology. Once it is populated with the necessary data and tools, GWIS can serve a management-oriented function. Several data management, modeling, visualization, mapping and resource management tools for watersheds, as well as interfaces for integration across diverse and dispersed data sources, are included in the system. As its initial point of departure to provide substantial and specific content GWIS has been populated with the high-volume high-quality (HVHQ; near continuous) water quality data acquired during field monitoring campaigns between 1998 and 2008 with the Environmental Process Control Laboratory (EPCL) of the University of Georgia.